Senior Game Engine Programmer

Parallel Domain • Full-time • Seattle, WA • 1m ago

At Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain simulated testing platform. Our software changes the way our customers test their systems, accelerating their ability to deploy safe and reliable AI. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and simulation.

We’re looking for a Senior Game Engine Programmer capable of thriving within a rapid development environment. We are a lean, focused team building a world-class platform for data generation for autonomy. The ideal candidate has at least 5-8 years experience in Games, Game Engine development and is willing to jump in and solve a variety of problems to move our technology forward.

Lead the design, implementation, and optimization of our real-time graphics engine with a primary focus on performance, scalability, and system-level efficiency. In this role, you'll architect and maintain the core runtime systems that drive sensor simulation at scale—including LiDAR, Radar, depth, and RGB—ensuring deterministic, low-latency execution across heterogeneous workloads.

In This Role, You Will Be Responsible For...

Build highly performant, multithreaded systems that scale across CPU and GPU.
Design memory-efficient data pipelines capable of supporting large-scale procedural environments and densely populated simulation scenes.
Work with our Senior Architect to implement core engine systems for real-time simulation, rendering, and sensor data output.
Work with the team to design profiling and debugging tools to monitor engine health, frame timing, memory usage, and system latency.
Optimize GPU compute workloads to ensure high throughput for both graphical rendering and sensor-specific data generation.
Develop tooling and metrics pipelines to continuously monitor and improve system bottlenecks.
Collaborate closely with simulation, graphics, and infrastructure teams to ensure platform performance meets the demands of parallelized, distributed workloads.
Your work will be central to enabling high-volume, high-fidelity synthetic data generation, powering cutting-edge autonomy and machine perception systems in production and research environments.

Qualifications...

5–8+ years of experience in graphics or engine development, preferably within real-time or simulation-focused environments.
Deep proficiency in C++ and Game Engine Development.
Strong background in: Multithreaded engine architecture, Performance profiling (CPU/GPU, frame timing, load balancing), GPU compute and pipeline optimization, Shader development (e.g., HLSL, GLSL), Low-level memory management
Familiarity with real-time 3D math, spatial data structures, and camera/sensor modeling.
Experience driving technical projects from architecture through to deployment, with strong collaboration across cross-functional teams.
Shipped a AAA photorealistic game, with involvement in performance-critical systems.
Worked with Unreal Engine 4.x or newer, or another modern high-performance game engine.
Hands-on experience working directly with the core engine codebase, not just using the editor or scripting layer. e.g., modifying rendering systems, memory allocators, or runtime infrastructure.

Bonus Points...

Experience with simulation systems for autonomous vehicles, robotics, or related domains
Familiarity with sensor simulation technologies such as LiDAR, Radar, depth, and realistic simulation of a broad range of cameras with varying levels of quality and their image signal processing capabilities.
Prior work on deterministic simulation, fixed update loops, or real-time physics systems.
Experience scaling and optimizing engines for cloud or distributed compute environments
Knowledge of large-scale procedural content generation and streaming world systems
Exposure to AI/ML-based content and rendering methods such as NeRFs and Gaussian Splatting
Experience collaborating with technical artists, 3D artists, and product designers
Led roadmap planning, authored technical design documentation, and defined engineering milestones

What Success Looks Like

You’ve profiled and begun optimizing key engine subsystems for performance and efficiency
You've owned and delivered core components within the rendering infrastructure that enable larger and more performant scenes, helped guide best practices for data authoring and packaging, and become the teams go-to for performance vs quality tradeoffs in the pipeline.

$205,000 - $245,000 a year

Location Information: Most of our team works in a hybrid style in Vancouver, British Columbia. But we are also open to fully office-based employees or remote employees who can commit to working our core hours and travelling to our Vancouver office. In addition, we offer relocation support if candidates are open and interested in moving to Vancouver.

Why join Parallel Domain?

We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.

To attract and inspire the right talent, we offer:

• Competitive compensation

• Employer-paid supplemental medical, mental health, dental, and vision benefits.

• Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year

• Paid parental leave

• Equipment budget to optimize your setup

• Annual learning and development stipend

Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law.

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